Towards a SpatioTemporal Data Model for Traditional Ecological Knowledge/Indigenous Knowledge

Kierin Mackenzie · John Pirker · Femke Reitsma

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Geographic Information Systems Studies 3D Modeling in Geospatial Applications Data Management and Algorithms

Abstract

Indigenous peoples have been making maps and utilizing GIS for some time, and have been mapped and cadastralized for some time as well. Models of Indigenous spatiality have been the topic of some work, but the data for modelling Indigenous spatiotemporality remain scant, and the subject matter is rich. This paper suggests another layer of representation for GIS when dealing with complex data with a strong relational and qualitative component. In this paper, we present a new data model that we are calling the spatiotemporal motif. It is an open data model incorporating choric (coordinate) as well as topic (attribute) space and chronic (coordinate) as well as kairic (attribute) time. The model aims to fill gaps in other data model depictions concerning lack of support for cyclical time, multiple constraints on what constitutes a proper time or place for a given activity, fluid and dynamic spatiotemporal boundaries, support for narratives and contingencies, and privacy and sensitivity concerns.

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References

1998Seeing like a State: How Certain Schemes to Improve the Human Condition Have Failed 2003Law, Property, and the Geography of Violence: The Frontier, the Survey, and the Grid 1995GIS, Indigenous Peoples, and Epistemological Diversity 2018Progress in Human Geography 2007Maps Narratives and Trails: Performativity, Hodology and Distributed Knowledges in Complex Adaptive Systems – an Approach to Emergent Mapping 2008Mapping Indigenous Depth of Place 2016Decolonizing geographies of power: indigenous digital counter-mapping practices on turtle Island 2015Weaponizing maps: indigenous peoples and counterinsurgency in the Americas

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